Latest news with #z17
Web Release
10-04-2025
- Business
- Web Release
IBM z17: The First Mainframe Fully Engineered for the AI Age
IBM (NYSE: IBM) today announced the IBM z17, the next generation of the company's iconic mainframe, fully engineered with AI capabilities across hardware, software, and systems operations. Powered by the new IBM Telum® II processor, IBM z17 expands the system's capabilities beyond transactional AI capabilities to enable new workloads. IBM Z is built to redefine AI at scale, positioning enterprises to score 100% of their transactions in real-time.1 z17 enables businesses to drive innovation and do more, including the ability to process 50 percent more AI inference operations per day than z16.2 The new IBM z17 is built to drive business value across industries with a wide range of more than 250 AI use cases, such as mitigating loan risk, managing chatbot services, supporting medical image analysis or impeding retail crime, among others. IBM z17 is the culmination of five years of design and development which included the filing of more than 300 patent applications filed with the US Patent and Trademark Office. Designed with the direct input of more than 100 clients and in close collaboration with IBM Research and Software teams; the new system introduces multi-model AI capabilities, new security features to protect data, and tools that leverage AI for improving system usability and management: · Bringing AI to Data – z17 AI inferencing capabilities are powered by a second-generation on-chip AI accelerator built into the IBM Telum® II processor, featuring increased frequency, compute capacity, a 40 percent growth in cache, enabling more than 450 billion inferencing operations in a day and one millisecond response time.2 · Expanding Acceleration for AI – The IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, will provide additional AI compute capabilities to complement the Telum® II processor. Together, they will create optimized environments to support multi-model methods of AI. The Spyre™ Accelerator is specially engineered to bring generative AI capabilities to the mainframe including running assistants, leveraging enterprise data contained in the system. · Leveraging AI to Enhance User Experience – z17 is designed to bolster the skills and efficiency of developers and IT operations with the use of AI assistants and AI agents, including IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z. In addition, for the first time, watsonx Assistant for Z will be integrated with Z Operations Unite to provide AI chat-based incident detection and resolution using live systems data. 'The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on,' said Ross Mauri, general manager of IBM Z and LinuxONE, IBM. 'With z17, we're bringing AI to the core of the enterprise with the software, processing power, and storage to make AI operational quickly. Additionally, organizations can put their vast, untapped stores of enterprise data to work with AI in a secured, cost-effective way.' Fully Integrated Across Hardware and Software IBM z17 is a system designed from the ground up to fully integrate into hybrid environments by tightly joining hardware innovations, software capabilities for AI, and rich support for open-standards and tooling. This enables differentiated performance and reliability while reimagining how developers and systems operators engage with and manage IBM Z, including: · Operating System for AI – IBM also previewed z/OS 3.2, the next version of its flagship operating system for IBM Z, planned to be released in the third quarter of 2025. z/OS 3.2 is designed to support hardware-accelerated AI capabilities across the system and operational AI insights for system management capabilities. Additionally, z/OS 3.2 will provide support for modern data access methods, NoSQL databases, and hybrid cloud data processing. These new capabilities will help AI software tap into a broader set of enterprise data and derive predictive business insights. · Unified IT Operations – Also announced today was IBM Z Operations Unite, which brings together key performance metrics and logs from multiple sources across IBM Z, in OpenTelemetry format, to streamline IBM Z operations with AI. The new solution is designed to accelerate the time to detect anomalies, isolate the impact of potential incidents, and reduce the resolution time. Used in conjunction with IBM Concert, operations teams can benefit from intelligent correlation of operational data across the entire enterprise. IBM Operations Unite will be generally available in May, 2025. · AI Accelerator for Business Efficiency – With the expansion options for the IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, IBM z17 aims to transform the user experience on the platform. Clients will be able to run IBM's growing catalog of assistants and agents, based on IBM's Granite models, natively on z17 without taking on the added risk associated with moving data or sensitive business logic off platform. Together, these solutions are engineered to form an optimized stack, to enable clients to drive more productivity with security and scale. Built for Resiliency: Security and Cyber Defense at the Core IBM z17 furthers the platform's history of strong security and resiliency capabilities. New developments in AI have enabled the deployment of added intelligence across this ever-growing area of importance for clients as new threats appear every day. This includes several new capabilities, including: · Secrets Management – Capabilities from HashiCorp, an IBM Company, announced in March are now available on IBM Z to help standardize secrets management across hybrid cloud. IBM Vault uses identity-based security to authenticate and authorize access to secrets, certificates, keys, tokens and other sensitive data. With the addition of IBM Vault, clients can have a single solution to help protect critical workloads by managing the entire secrets lifecycle across their full IT estate. · AI-powered Data Security – IBM intends to deliver new capabilities for discovering and classifying sensitive data on the platform. This would tap into Telum® II and utilize natural language processing so mission-critical data can be identified and protected. Additionally, our latest AI-driven security solution, IBM Threat Detection for z/OS, is designed to detect and identify potentially malicious anomalies that might be the result of a cyber-attack. IBM Extends AI-Enabled Support to IBM z17 IBM's tailored, comprehensive support experience helps IBM Z clients meet demands beyond traditional maintenance. Delivered by IBM Technology Lifecycle Services, IBM Support for z17 helps clients optimize their environments for peak performance to address risk and disruptions for mission-critical operations. IBM's AI processes streamline incident remediation and help improve case resolution time, built on IBM watsonx, now support IBM Z systems. IBM Delivers Secured and Agile Storage IBM Storage DS8000 plays a key role as an integrated storage solution for IBM Z. The latest generation of IBM Storage DS8000 (10th Generation) is designed to harness the full power of IBM z17, providing organizations access to critical workloads, consistent and optimized data performance, and a modular architecture to adopt the latest IBM research-backed technologies to fuel business growth while monetizing data. Together, IBM Z and IBM Storage offer a modern infrastructure delivering a secured and agile platform for mission-critical workloads. Availability IBM z17 will be generally available June 18, 2025 For more information, visit The IBM Spyre™ Accelerator is expected to be available starting in Q4 2025. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
Forbes
09-04-2025
- Business
- Forbes
IBM Launches Z17 Mainframe With Full AI Integration
IBM has designed the new z17 mainframe platform to enable — and benefit from — AI across many of its ... More functions. IBM launched the latest version of its dominant mainframe platform — the z17 — at its virtual IBM Z Day event this week. The z17, which features comprehensive AI integration, is designed to bring AI workloads closer to enterprise data. Embedded AI accelerators within its microprocessors support predictive and generative AI models alongside AI-powered security features. The z17 also leverages AI for critical system functions such as tuning and management. It is scheduled to be generally available in mid-June of this year. Last month I received an advance briefing on the z17's capabilities during an analyst event held at IBM's new headquarters in New York. The new rollout builds on the success of the predecessor in the Z lineup, the z16, which debuted in 2022 and delivered consistent revenue growth, showing the enduring value of IBM's mainframe offerings half a century after the technology became widespread. 'This has been one of the longest-running and most consistent programs in terms of revenue growth we've ever seen,' noted IBM's CFO James Kavanaugh on the company's Q4 2024 earnings call. Nate Dotson, principal product manager for IBM z17, framed the strategic direction for the launch: 'The z17 presents new possibilities, evolving how enterprises can utilize their core systems through AI, automation and enhanced security. Our focus is on three key areas: supporting innovation and growth with AI, enabling automation and transformation for efficiency, and enhancing the security of critical data.' AI advancements for mainframes can improve and secure business interactions, leading to faster, more reliable, personalized consumer experiences. This is particularly important because many everyday consumer transactions rely on mainframe technology, including most credit card purchases as well as other steps in financial transactions such as identity verification. (Note: IBM is an advisory client of my firm, Moor Insights & Strategy.) Despite common misconceptions about mainframes being relics of a bygone era, they remain a significant component of the modern IT landscape. Mainframes are widely recognized for high reliability, scalability and performance, which is what allows a technology that became common during the Cold War to support today's technologies and hybrid infrastructure models. They manage substantial volumes of critical business data and process a considerable portion of the world's transactional workloads. The IBM Institute of Business Value reports that 79% of IT executives consider mainframes essential for enabling AI-driven innovation and value creation. Modern mainframes offer significant processing power, handling up to 30,000 transactions per second, and can accommodate substantial data with up to 40 terabytes of memory. Economically, 75% of IT executives report that mainframes are equal to or better than cloud computing in terms of total cost of ownership. According to IBM, organizations that integrate mainframes into a hybrid-by-design strategy achieve a 3x higher ROI from their digital transformation efforts. The overwhelming majority (88%) of executives from the same study believe that modernizing mainframe applications is critical for achieving long-term success in digital transformation. Meredith Stowell, vice president for the IBM Z Ecosystem, presents at an analyst event in New York ... More City. The z17 incorporates several new AI-related features, including the ability to use multi-model AI in real time by combining AI models and LLMs for every transaction. Integrating multiple AI models enables deeper analysis and understanding of transactional data, increasing predictive accuracy by uncovering patterns and trends that might otherwise go unnoticed. And real-time processing ensures that decisions such as flagging suspicious transactions or approving loans are made instantly. In the case of a financial institution, this could lead directly to faster and more accurate fraud detection, credit risk assessments and anti-money-laundering measures. This protects both customer accounts and the institution itself while also improving customer experience, for example by enabling quicker loan approvals. The expanded insights and accuracy also help meet stringent regulatory requirements by ensuring thorough transaction monitoring. Meanwhile, retailers can explore generative AI models on the mainframe to refine customer interactions and recommendations. Airlines rely on mainframes to manage booking systems and ensure smooth customer service, while insurance companies use them to process high volumes of claims efficiently. In industries dealing with high volumes of transactions, mainframes' extreme scalability for rapid processing can result in better customer satisfaction and retention. The new ability in the z17 to process AI tasks on the mainframe is intended to further improve latency, potentially leading to quicker service responses. The IBM Z environment also addresses key data privacy and compliance considerations. The inherent scalability of mainframes ensures consistent service during peak demand, while the built-in resilience is designed for zero downtime. The AI infrastructure within the z17 aims to improve efficiency in AI workloads and offer enhanced throughput compared to some distributed GPU models. IBM has enhanced the z17 with the Tellum II Processor AI Accelerator, a second-generation accelerator integrated into the processor for complex computations associated with LLMs. Its architecture supports relevant computational primitives, facilitates remote AI access across the system and optimizes compute capacity through new data types. The Spire Accelerator, a dedicated AI accelerator available on a PCIe card, will be available as an add-on for z17 in Q4 2025. Designed for generative AI tasks, it has 32 cores and 128GB of LPDDR5 memory. Its architecture allows for clustering, which increases processing capacity. The accelerator supports both 4-bit and 8-bit processing for efficient execution of LLMs, reducing the need to move sensitive data off-platform. Tina Tarquinio, vice president of product management at IBM, emphasized the strategic imperative behind this AI integration. 'IBM isn't just adding AI for technology's sake, but is purposefully engineering AI capabilities to enhance the most critical business operations,' she said. '90% of the world's credit card transactions run through the mainframe. 70% of the world's [financial] transactions, by volume, run through the mainframe. We need the AI where it matters most, and for all of our clients, it needs to happen fast, it needs to happen reliably and it needs to happen securely. And this is what we've built the stack for.' A sample unit of the IBM z17 mainframe on display during an analyst event at IBM in New York City Because mainframes process such vast amounts of transactions, data security is paramount. IBM Z has historically provided a robust environment for sensitive data, and the integration of AI should bolster this capability. By processing AI workloads on-chip or within the Spire accelerator, the z17 enhances security by keeping sensitive data within the mainframe environment. The mainframe's encryption capabilities extend to AI operations, making the environment especially suited for highly regulated industries such as financial services and healthcare. The z17's local processing could also lower costs by minimizing reliance on external computing resources. Mainframes have a history of providing value for enterprises by enabling them to process enormous amounts of data while keeping costs remarkably low. One indicator of this: despite handling 72% of global transaction workloads, mainframes account for only 8% of IT costs. Cost is only one consideration. IBM designed the AI features in z17 to focus on efficient energy utilization, which is becoming increasingly critical as AI strains energy resources and impacts carbon footprints. The new infrastructure is intended to lower energy consumption for AI workloads compared to some traditional methods — and to the z16 — which could help organizations better manage operational costs and address environmental considerations. IBM views AI integration into the IBM Z platform as a crucial step in the ongoing evolution of enterprise computing. In this context, IBM plans to further enhance AI capabilities for the Z platform while continuing to integrate it with hybrid cloud environments — and to explore quantum computing. To support the adoption of these AI capabilities on the mainframe, IBM is actively developing and offering upskilling and training programs as well as strategic partnerships. The company's Z Mainframe Skills Depot provides different learning paths and training for various roles in the mainframe ecosystem. Currently, it covers roles including system admin and application developer, with plans to expand to include a security-focused learning path in the future. Because a significant portion of the mainframe workforce is reaching retirement age, upskilling and training programs are critical for building a new generation of professionals. By 2035, many experienced workers will have retired, creating a pressing need to transfer knowledge and expertise to younger talent. These initiatives are essential for maintaining operational continuity and enabling businesses to fully leverage AI capabilities on the mainframe. IBM's professional development and community programs are similar to Broadcom's Vitality Residency Program, which my colleague Matt Kimball wrote about last year. This trend of supporting mainframe talent development is a testament to the staying power of the technology and its importance in data processing. Although consumers may not directly engage with mainframes or fully comprehend their operational role, their influence remains significant. As the unrivaled dominant player in the mainframe market, IBM and its Z platform play outsized roles in the ongoing relevance and innovation of mainframes. Ultimately, these systems facilitate rapid transaction processing at great scale, personalized service delivery and secure business interactions, while also contributing to sustainable operations. For many businesses prioritizing good customer experience alongside effective risk and cost management, IBM Z represents a critical infrastructure component. As IBM continues to integrate intelligent features that can influence the future of customer experience, it's essential to recognize evolving perceptions of the mainframe. In the AI era, it may well become a foundational element for modern customer experience and business operations.
Yahoo
09-04-2025
- Business
- Yahoo
IBM unveils AI-integrated z17 mainframe
Tech major IBM has unveiled the latest version of its mainframe hardware engineered to support artificial intelligence (AI) across software, hardware, and systems operations. Powered by the IBM Telum II processor, the IBM z17 is designed to extend beyond transactional AI workloads, aiming to deliver real-time analysis for 100% of enterprise transactions. The system introduces capabilities that process up to 50% more AI inference operations per day than its predecessor, the IBM z16. The z17 incorporates feedback from more than 100 enterprise clients and reflects a five-year development process, the company said. The company revealed that it filed more than 300 patent applications with the US Patent and Trademark Office during this period. The new system integrates AI to support over 250 use cases such as risk assessment for loans, chatbot management, among others. At the core of the z17 is a second-generation on-chip AI accelerator within the Telum II processor, offering 40% more cache and the ability to perform over 450 billion inferencing operations daily with one millisecond response times. Concurrently, the tech major previewed the IBM Spyre Accelerator which will offer additional AI compute capacity via a PCIe card. The accelerator is intended to enable generative AI capabilities on the mainframe, such as AI assistants using enterprise data. The z17 introduces tools like IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z to enhance developer and IT operations productivity. For the first time, watsonx Assistant for Z will integrate with Z Operations Unite to provide chat-based AI incident detection and resolution using live system data, the company said. IBM also introduced IBM Z Operations Unite, a solution designed to unify key performance metrics and logs using OpenTelemetry. Scheduled for general availability in May 2025, it is aimed at improving incident detection, impact assessment, and resolution times. The z17 also includes features such as IBM Vault for secrets management across hybrid cloud, leveraging technology from HashiCorp. Additionally, the system introduces AI-powered tools for data classification and threat detection, including IBM Threat Detection for z/OS. Support for the z17 will be provided through IBM Technology Lifecycle Services, offering AI-driven processes to enhance case resolution and operational efficiency. The z17 will be generally available from 18 June 2025, with the IBM Spyre Accelerator to follow in late 2025. IBM LinuxONE and IBM Z general manager Ross Mauri said: 'The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on. 'With z17, we're bringing AI to the core of the enterprise with the software, processing power, and storage to make AI operational quickly. Additionally, organisations can put their vast, untapped stores of enterprise data to work with AI in a secured, cost-effective way.' Recently, IBM and Tokyo Electron (TEL) renewed their partnership to advance semiconductor technologies for the next five years. "IBM unveils AI-integrated z17 mainframe" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Trade Arabia
09-04-2025
- Business
- Trade Arabia
IBM unveils first mainframe fully engineered for AI Age
IBM today (April 9) announced the IBM z17, the next generation of the company's iconic mainframe, fully engineered with AI capabilities across hardware, software, and systems operations. Powered by the new IBM Telum II processor, IBM z17 expands the system's capabilities beyond transactional AI capabilities to enable new workloads. IBM Z is built to redefine AI at scale, positioning enterprises to score 100% of their transactions in real-time.1 z17 enables businesses to drive innovation and do more, including the ability to process 50 percent more AI inference operations per day than z16.2. The new IBM z17 is built to drive business value across industries with a wide range of more than 250 AI use cases, such as mitigating loan risk, managing chatbot services, supporting medical image analysis or impeding retail crime, among others. IBM z17 is the culmination of five years of design and development which included the filing of more than 300 patent applications filed with the US Patent and Trademark Office. Designed with the direct input of more than 100 clients and in close collaboration with IBM Research and Software teams; the new system introduces multi-model AI capabilities, new security features to protect data, and tools that leverage AI for improving system usability and management: Bringing AI to Data – z17 AI inferencing capabilities are powered by a second-generation on-chip AI accelerator built into the IBM Telum II processor, featuring increased frequency, compute capacity, a 40% growth in cache, enabling more than 450 billion inferencing operations in a day and one millisecond response time.2 Expanding Acceleration for AI – The IBM Spyre Accelerator expected to be available 4Q 2025 via PCIe card, will provide additional AI compute capabilities to complement the Telum II processor. Together, they will create optimized environments to support multi-model methods of AI. The Spyre Accelerator is specially engineered to bring generative AI capabilities to the mainframe including running assistants, leveraging enterprise data contained in the system. Leveraging AI to Enhance User Experience – z17 is designed to bolster the skills and efficiency of developers and IT operations with the use of AI assistants and AI agents, including IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z. In addition, for the first time, watsonx Assistant for Z will be integrated with Z Operations Unite to provide AI chat-based incident detection and resolution using live systems data. "The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on," said Ross Mauri, general manager of IBM Z and LinuxONE, IBM.
Yahoo
08-04-2025
- Business
- Yahoo
IBM z17: The First Mainframe Fully Engineered for the AI Age
New Innovations Unlock Capabilities for Enterprise-Scale AI, Including Large Language Models and Generative AI User Experience Reimagined via new Assistants and Agents ARMONK, N.Y., April 8, 2025 /PRNewswire/ -- IBM (NYSE: IBM) today announced the IBM z17, the next generation of the company's iconic mainframe, fully engineered with AI capabilities across hardware, software, and systems operations. Powered by the new IBM Telum® II processor, IBM z17 expands the system's capabilities beyond transactional AI capabilities to enable new workloads. IBM Z is built to redefine AI at scale, positioning enterprises to score 100% of their transactions in real-time.1 z17 enables businesses to drive innovation and do more, including the ability to process 50 percent more AI inference operations per day than z16.2 The new IBM z17 is built to drive business value across industries with a wide range of more than 250 AI use cases, such as mitigating loan risk, managing chatbot services, supporting medical image analysis or impeding retail crime, among others. IBM z17 is the culmination of five years of design and development which included the filing of more than 300 patent applications filed with the US Patent and Trademark Office. Designed with the direct input of more than 100 clients and in close collaboration with IBM Research and Software teams; the new system introduces multi-model AI capabilities, new security features to protect data, and tools that leverage AI for improving system usability and management: Bringing AI to Data – z17 AI inferencing capabilities are powered by a second-generation on-chip AI accelerator built into the IBM Telum® II processor, featuring increased frequency, compute capacity, a 40 percent growth in cache, enabling more than 450 billion inferencing operations in a day and one millisecond response time.2 Expanding Acceleration for AI – The IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, will provide additional AI compute capabilities to complement the Telum® II processor. Together, they will create optimized environments to support multi-model methods of AI. The Spyre™ Accelerator is specially engineered to bring generative AI capabilities to the mainframe including running assistants, leveraging enterprise data contained in the system. Leveraging AI to Enhance User Experience – z17 is designed to bolster the skills and efficiency of developers and IT operations with the use of AI assistants and AI agents, including IBM watsonx Code Assistant for Z and IBM watsonx Assistant for Z. In addition, for the first time, watsonx Assistant for Z will be integrated with Z Operations Unite to provide AI chat-based incident detection and resolution using live systems data. "The industry is quickly learning that AI will only be as valuable as the infrastructure it runs on," said Ross Mauri, general manager of IBM Z and LinuxONE, IBM. "With z17, we're bringing AI to the core of the enterprise with the software, processing power, and storage to make AI operational quickly. Additionally, organizations can put their vast, untapped stores of enterprise data to work with AI in a secured, cost-effective way." Fully Integrated Across Hardware and Software IBM z17 is a system designed from the ground up to fully integrate into hybrid environments by tightly joining hardware innovations, software capabilities for AI, and rich support for open-standards and tooling. This enables differentiated performance and reliability while reimagining how developers and systems operators engage with and manage IBM Z, including: Operating System for AI – IBM also previewed z/OS 3.2, the next version of its flagship operating system for IBM Z, planned to be released in the third quarter of 2025. z/OS 3.2 is designed to support hardware-accelerated AI capabilities across the system and operational AI insights for system management capabilities. Additionally, z/OS 3.2 will provide support for modern data access methods, NoSQL databases, and hybrid cloud data processing. These new capabilities will help AI software tap into a broader set of enterprise data and derive predictive business insights. Unified IT Operations – Also announced today was IBM Z Operations Unite, which brings together key performance metrics and logs from multiple sources across IBM Z, in OpenTelemetry format, to streamline IBM Z operations with AI. The new solution is designed to accelerate the time to detect anomalies, isolate the impact of potential incidents, and reduce the resolution time. Used in conjunction with IBM Concert, operations teams can benefit from intelligent correlation of operational data across the entire enterprise. IBM Operations Unite will be generally available in May, 2025. AI Accelerator for Business Efficiency – With the expansion options for the IBM Spyre™ Accelerator expected to be available 4Q 2025 via PCIe card, IBM z17 aims to transform the user experience on the platform. Clients will be able to run IBM's growing catalog of assistants and agents, based on IBM's Granite models, natively on z17 without taking on the added risk associated with moving data or sensitive business logic off platform. Together, these solutions are engineered to form an optimized stack, to enable clients to drive more productivity with security and scale. Built for Resiliency: Security and Cyber Defense at the Core IBM z17 furthers the platform's history of strong security and resiliency capabilities. New developments in AI have enabled the deployment of added intelligence across this ever-growing area of importance for clients as new threats appear every day. This includes several new capabilities, including: Secrets Management – Capabilities from HashiCorp, an IBM Company, announced in March are now available on IBM Z to help standardize secrets management across hybrid cloud. IBM Vault uses identity-based security to authenticate and authorize access to secrets, certificates, keys, tokens and other sensitive data. With the addition of IBM Vault, clients can have a single solution to help protect critical workloads by managing the entire secrets lifecycle across their full IT estate. AI-powered Data Security – IBM intends to deliver new capabilities for discovering and classifying sensitive data on the platform. This would tap into Telum® II and utilize natural language processing so mission-critical data can be identified and protected. Additionally, our latest AI-driven security solution, IBM Threat Detection for z/OS, is designed to detect and identify potentially malicious anomalies that might be the result of a cyber-attack. IBM Extends AI-Enabled Support to IBM z17 IBM's tailored, comprehensive support experience helps IBM Z clients meet demands beyond traditional maintenance. Delivered by IBM Technology Lifecycle Services, IBM Support for z17 helps clients optimize their environments for peak performance to address risk and disruptions for mission-critical operations. IBM's AI processes streamline incident remediation and help improve case resolution time, built on IBM watsonx, now support IBM Z systems. IBM Delivers Secured and Agile Storage IBM Storage DS8000 plays a key role as an integrated storage solution for IBM Z. The latest generation of IBM Storage DS8000 (10th Generation) is designed to harness the full power of IBM z17, providing organizations access to critical workloads, consistent and optimized data performance, and a modular architecture to adopt the latest IBM research-backed technologies to fuel business growth while monetizing data. Together, IBM Z and IBM Storage offer a modern infrastructure delivering a secured and agile platform for mission-critical workloads. Availability IBM z17 will be generally available June 18, 2025 For more information, visit The IBM Spyre™ Accelerator is expected to be available starting in Q4 2025. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Additional Sources Ecosystem & Skills blog Software blog z17 Support blog Research blog Media Contact: Chase Skinner IBM Communications Aishwerya Paul IBM Communications 1. Claim – Since the introduction of IBM z16 in 2022, IBM Z mainframes have been able to support AI inferencing directly in the mainframe, making it possible to score 100% of real-time transactions even in high-volume production environments. Source - Celent report: "Mitigating Fraud in The AI Age" by Neil Katkov, 04/08/2025, commissioned by IBM 2. Claim - The percentage difference between IBM z17, that processes up to 450 billion inference operations per day with 1 ms response time using a Credit Card Fraud Detection Deep Learning model, and IBM z16, process up to 300 billion inference requests per day with 1ms response time using a Credit Card Fraud Detection model. For IBM z17 up to 450 billion inferences operations per day. Disclaimer - For z17 performance result is extrapolated from IBM® internal tests running on IBM Systems Hardware of machine type 9175. The benchmark was executed with 1 thread performing local inference operations using a LSTM based synthetic Credit Card Fraud Detection model ( to exploit the integrated Accelerator for AI. A batch size of 160 was used. IBM Systems Hardware configuration: 1 LPAR running Red Hat® Enterprise Linux® 9.4 with 6 IFLs (SMT), 128 GB memory. 1 LPAR with 2 CPs, 4 zIIPs and 256 GB memory running IBM z/OS® 3.1 with IBM z/OS Container Extensions (zCX) feature. Results may vary. For IBM z16, performance result is extrapolated from IBM internal tests running local inference operations in an IBM z16 LPAR with 48 IFLs and 128 GB memory on Ubuntu 20.04 (SMT mode) using a synthetic credit card fraud detection model ( exploiting the IBM Integrated Accelerator for AI. The benchmark was running with 8 parallel threads each pinned to the first core of a different chip. The lscpu command was used to identify the core-chip topology. A batch size of 128 inference operations was used. Results were also reproduced using a z/OS V2R4 LPAR with 24 CPs and 256GB memory on IBM z16. The same credit card fraud detection model was used. The benchmark was executed with a single thread performing inference operations. A batch size of 128 inference operations was used. Results may vary. SOURCE IBM Sign in to access your portfolio
